{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Support Vector Machine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from __future__ import print_function\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the\n",
    "# notebook rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (12.0, 10.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CIFAR-10 Data Loading and Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据导入函数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "\n",
    "from six.moves import cPickle as pickle\n",
    "import numpy as np\n",
    "import os\n",
    "from scipy.misc import imread\n",
    "import platform\n",
    "\n",
    "def load_pickle(f):\n",
    "    version = platform.python_version_tuple()\n",
    "    if version[0] == '2':\n",
    "        return  pickle.load(f)\n",
    "    elif version[0] == '3':\n",
    "        return  pickle.load(f, encoding='latin1')\n",
    "    raise ValueError(\"invalid python version: {}\".format(version))\n",
    "\n",
    "def load_CIFAR_batch(filename):\n",
    "    \"\"\" load single batch of cifar \"\"\"\n",
    "    with open(filename, 'rb') as f:\n",
    "        datadict = load_pickle(f)\n",
    "        X = datadict['data']\n",
    "        Y = datadict['labels']\n",
    "        X = X.reshape(10000, 3, 32, 32).transpose(0,2,3,1).astype(\"float\")\n",
    "        Y = np.array(Y)\n",
    "        return X, Y\n",
    "\n",
    "def load_CIFAR10(ROOT):\n",
    "    \"\"\" load all of cifar \"\"\"\n",
    "    xs = []\n",
    "    ys = []\n",
    "    for b in range(1,6):\n",
    "        f = os.path.join(ROOT, 'data_batch_%d' % (b, ))\n",
    "        X, Y = load_CIFAR_batch(f)\n",
    "        xs.append(X)\n",
    "        ys.append(Y)    \n",
    "    Xtr = np.concatenate(xs)\n",
    "    Ytr = np.concatenate(ys)\n",
    "    del X, Y\n",
    "    Xte, Yte = load_CIFAR_batch(os.path.join(ROOT, 'test_batch'))\n",
    "    return Xtr, Ytr, Xte, Yte"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "导入数据：\n",
    "\n",
    "**注意：**\n",
    "CIFAR-10的原始数据已放入云盘：链接：https://pan.baidu.com/s/1iZPwt72j-EpVUbLKgEpYMQ 密码：vy1e"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'data/cifar-10-batches-py'\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据可视化："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlMAAAFsCAYAAADohTwNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x8c09240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 5\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "划分数据为训练集、验证集和测试集："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train data shape:  (49000, 32, 32, 3)\n",
      "Train labels shape:  (49000,)\n",
      "Validation data shape:  (1000, 32, 32, 3)\n",
      "Validation labels shape:  (1000,)\n",
      "Test data shape:  (1000, 32, 32, 3)\n",
      "Test labels shape:  (1000,)\n"
     ]
    }
   ],
   "source": [
    "# Split the data into train, val, and test sets. In addition we will\n",
    "# create a small development set as a subset of the training data;\n",
    "# we can use this for development so our code runs faster.\n",
    "num_training = 49000\n",
    "num_validation = 1000\n",
    "num_test = 1000\n",
    "num_dev = 500\n",
    "\n",
    "# Our validation set will be num_validation points from the original\n",
    "# training set.\n",
    "mask = range(num_training, num_training + num_validation)\n",
    "X_val = X_train[mask]\n",
    "y_val = y_train[mask]\n",
    "\n",
    "# Our training set will be the first num_train points from the original\n",
    "# training set.\n",
    "mask = range(num_training)\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "# We will also make a development set, which is a small subset of\n",
    "# the training set.\n",
    "mask = np.random.choice(num_training, num_dev, replace=False)\n",
    "X_dev = X_train[mask]\n",
    "y_dev = y_train[mask]\n",
    "\n",
    "# We use the first num_test points of the original test set as our\n",
    "# test set.\n",
    "mask = range(num_test)\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "print('Train data shape: ', X_train.shape)\n",
    "print('Train labels shape: ', y_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Validation labels shape: ', y_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据预处理："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (49000, 3072)\n",
      "Validation data shape:  (1000, 3072)\n",
      "Test data shape:  (1000, 3072)\n",
      "dev data shape:  (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_val = np.reshape(X_val, (X_val.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n",
    "\n",
    "# As a sanity check, print out the shapes of the data\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('dev data shape: ', X_dev.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 130.64189796  135.98173469  132.47391837  130.05569388  135.34804082\n",
      "  131.75402041  130.96055102  136.14328571  132.47636735  131.48467347]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x94f0da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Preprocessing: subtract the mean image\n",
    "# first: compute the image mean based on the training data\n",
    "mean_image = np.mean(X_train, axis=0)\n",
    "print(mean_image[:10]) # print a few of the elements\n",
    "plt.figure(figsize=(4,4))\n",
    "plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# second: subtract the mean image from train and test data\n",
    "X_train -= mean_image\n",
    "X_val -= mean_image\n",
    "X_test -= mean_image\n",
    "X_dev -= mean_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n"
     ]
    }
   ],
   "source": [
    "# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n",
    "# only has to worry about optimizing a single weight matrix W.\n",
    "X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n",
    "X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n",
    "X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n",
    "X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n",
    "\n",
    "print(X_train.shape, X_val.shape, X_test.shape, X_dev.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVM Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class LinearSVM:\n",
    "    def __init__(self):\n",
    "        self.W = None\n",
    "    \n",
    "    def loss(self, X, y, reg):\n",
    "        \"\"\"\n",
    "        Structured SVM loss function, vectorized implementation.\n",
    "\n",
    "        Inputs and outputs are the same as svm_loss_naive.\n",
    "        \"\"\"\n",
    "        loss = 0.0\n",
    "        dW = np.zeros(self.W.shape) # initialize the gradient as zero\n",
    "\n",
    "        num_train = X.shape[0]\n",
    "        scores = X.dot(self.W)\n",
    "        correct_class_score = scores[range(num_train), list(y)].reshape(-1,1) # (N,1)\n",
    "        margin = np.maximum(0, scores - correct_class_score + 1)\n",
    "        margin[range(num_train), list(y)] = 0\n",
    "        loss = np.sum(margin) / num_train + 0.5 * reg * np.sum(self.W * self.W)\n",
    "  \n",
    "        num_classes = self.W.shape[1]\n",
    "        inter_mat = np.zeros((num_train, num_classes))\n",
    "        inter_mat[margin > 0] = 1\n",
    "        inter_mat[range(num_train), list(y)] = 0\n",
    "        inter_mat[range(num_train), list(y)] = -np.sum(inter_mat, axis=1)\n",
    "\n",
    "        dW = (X.T).dot(inter_mat)\n",
    "        dW = dW/num_train + reg*self.W\n",
    "\n",
    "        return loss, dW\n",
    "    \n",
    "    def train(self, X, y, learning_rate=1e-3, reg=1e-5, num_iters=100,\n",
    "            batch_size=200, verbose=False):\n",
    "        \"\"\"\n",
    "        Train this linear classifier using stochastic gradient descent.\n",
    "\n",
    "        Inputs:\n",
    "        - X: A numpy array of shape (N, D) containing training data; there are N\n",
    "          training samples each of dimension D.\n",
    "        - y: A numpy array of shape (N,) containing training labels; y[i] = c\n",
    "          means that X[i] has label 0 <= c < C for C classes.\n",
    "        - learning_rate: (float) learning rate for optimization.\n",
    "        - reg: (float) regularization strength.\n",
    "        - num_iters: (integer) number of steps to take when optimizing\n",
    "        - batch_size: (integer) number of training examples to use at each step.\n",
    "        - verbose: (boolean) If true, print progress during optimization.\n",
    "\n",
    "        Outputs:\n",
    "        A list containing the value of the loss function at each training iteration.\n",
    "        \"\"\"\n",
    "        num_train, dim = X.shape\n",
    "        num_classes = np.max(y) + 1 # assume y takes values 0...K-1 where K is number of classes\n",
    "        if self.W is None:\n",
    "            # lazily initialize W\n",
    "            self.W = 0.001 * np.random.randn(dim, num_classes)\n",
    "\n",
    "        # Run stochastic gradient descent to optimize W\n",
    "        loss_history = []\n",
    "        for it in range(num_iters):\n",
    "            X_batch = None\n",
    "            y_batch = None\n",
    "            idx_batch = np.random.choice(num_train, batch_size, replace = True)\n",
    "            X_batch = X[idx_batch]\n",
    "            y_batch = y[idx_batch]\n",
    "\n",
    "            # evaluate loss and gradient\n",
    "            loss, grad = self.loss(X_batch, y_batch, reg)\n",
    "            loss_history.append(loss)\n",
    "\n",
    "            self.W -=  learning_rate * grad\n",
    "\n",
    "            if verbose and it % 100 == 0:\n",
    "                print('iteration %d / %d: loss %f' % (it, num_iters, loss))\n",
    "\n",
    "        return loss_history\n",
    "    \n",
    "    def predict(self, X):\n",
    "        \"\"\"\n",
    "        Use the trained weights of this linear classifier to predict labels for\n",
    "        data points.\n",
    "\n",
    "        Inputs:\n",
    "        - X: A numpy array of shape (N, D) containing training data; there are N\n",
    "          training samples each of dimension D.\n",
    "\n",
    "        Returns:\n",
    "        - y_pred: Predicted labels for the data in X. y_pred is a 1-dimensional\n",
    "          array of length N, and each element is an integer giving the predicted\n",
    "          class.\n",
    "        \"\"\"\n",
    "        y_pred = np.zeros(X.shape[0])\n",
    "        scores = X.dot(self.W)\n",
    "        y_pred = np.argmax(scores, axis = 1)\n",
    "        return y_pred"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "训练过程："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 0 / 1500: loss 408.482225\n",
      "iteration 100 / 1500: loss 242.186627\n",
      "iteration 200 / 1500: loss 146.099010\n",
      "iteration 300 / 1500: loss 90.307170\n",
      "iteration 400 / 1500: loss 56.560172\n",
      "iteration 500 / 1500: loss 35.644114\n",
      "iteration 600 / 1500: loss 23.612653\n",
      "iteration 700 / 1500: loss 16.129440\n",
      "iteration 800 / 1500: loss 11.739110\n",
      "iteration 900 / 1500: loss 9.888106\n",
      "iteration 1000 / 1500: loss 7.531318\n",
      "iteration 1100 / 1500: loss 6.876352\n",
      "iteration 1200 / 1500: loss 5.834144\n",
      "iteration 1300 / 1500: loss 5.392152\n",
      "iteration 1400 / 1500: loss 5.187876\n",
      "That took 6.138000s\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmcAAAF3CAYAAADgjOwXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAAIABJREFUeJzs3Xl4XWW5/vHvk3memnRM2nQuLWBb\nQikgyCCjyOAITqgoR8T5OMDRo6g/j6hHcTpHBVEBRZRB4SCjUJmk2BY6z3PTMWnmeXp+f+zVNi1p\nk4bsrJ2d+3Nd+8pa73r3zpPVRXKzhvc1d0dEREREYkNC2AWIiIiIyCEKZyIiIiIxROFMREREJIYo\nnImIiIjEEIUzERERkRiicCYiIiISQxTORERERGKIwpmIiIhIDFE4ExEREYkhCmciIiIiMSQp7ALe\niMLCQi8tLQ27DBEREZFeLVmypNLdi3rrN6TDWWlpKYsXLw67DBEREZFemdm2vvTTZU0RERGRGKJw\nJiIiIhJDFM5EREREYojCmYiIiEgMUTgTERERiSEKZyIiIiIxROFMREREJIYonImIiIjEEIUzERER\nkRiicCYiIiISQxTORERERGKIwtkxNLZ28OzavVQ1toVdioiIiAwTCmfHsLmikY/+bjH/3FQZdiki\nIiIyTCicHcOMMdmkJiXw2vaasEsRERGRYULh7BiSExOYNiqbjfsawi5FREREhomohzMzSzSz18zs\n0WB9opm9YmYbzOxPZpYStKcG6xuD7aXRrq0vMlMTeW59BZsrFNBEREQk+gbjzNlngTXd1r8H3Obu\nU4Fq4Lqg/Tqg2t2nALcF/UKXnBjZRXe/vC3kSkRERGQ4iGo4M7Ni4G3Ar4N1A84DHgi63AVcGSxf\nEawTbD8/6B+q2947G4CdNc0hVyIiIiLDQbTPnP0Y+DLQFayPAGrcvSNYLwfGBcvjgB0AwfbaoH+o\nCrNSOXPKCPY3tIZdioiIiAwDUQtnZnYZsM/dl3Rv7qGr92Fb98+93swWm9niioqKAai0d4VZqVQ2\naKwzERERib5onjk7E7jczLYC9xG5nPljIM/MkoI+xcCuYLkcKAEItucCVUd+qLvf7u5l7l5WVFQU\nxfIPiYQznTkTERGR6ItaOHP3m9292N1LgauBZ939/cAC4F1Bt2uBh4PlR4J1gu3PuvvrzpyFoXRE\nBk1tnWypbAy7FBEREYlzYYxz9hXgC2a2kcg9ZXcG7XcCI4L2LwA3hVBbj86ZPhKAZ9fuC7kSERER\niXdJvXd549z9H8A/guXNwLwe+rQA7x6Meo5XSUEGkwozeXlTJde9eWLY5YiIiEgc0wwBfTR9dDab\ndVlTREREokzhrI8mFmayfX8THZ1dvXcWERER6SeFsz4qLcyko8spr9ZgtCIiIhI9Cmd9NKkwE4At\n+3VpU0RERKJH4ayPSg+EswqFMxEREYkehbM+GpGZAsC3Hl1NjAy/JiIiInFI4ayPus/BXtPUHmIl\nIiIiEs8Uzo7DD9/9JgCqmjTPpoiIiESHwtlxKMxOBaCqUeFMREREokPh7DgcuO9M4UxERESiReHs\nOBQFZ85212isMxEREYkOhbPjMDI7lZy0JF7dXhN2KSIiIhKnFM6Og5lxamkBj63YTW2zntgUERGR\ngadwdpzee2oJHV3O5oqGsEsRERGROKRwdpwmj8wCYMM+hTMREREZeApnx2niiExGZKbw0sbKsEsR\nERGROKRwdpwSEoyzpxXx/PoKOrs0jZOIiIgMLIWzfjhnehHVTe2s2FkbdikiIiISZxTO+uGsqUUA\nLNy8P+RKREREJN4onPVDQWYKY3PTWL2rLuxSREREJM4onPXTlFHZbKlsDLsMERERiTMKZ/00Li+d\nnZrGSURERAaYwlk/FeenU9XYRkNrR9iliIiISBxROOunUybkA7Bg7b6QKxEREZF4onDWT6eWFpCS\nlMBKDachIiIiA0jhrJ8SE4xJhZm8tr0m7FJEREQkjiicvQEXzBzFv7ZWUV7dFHYpIiIiEieiFs7M\nLM3M/mVmy8xslZl9M2j/nZltMbOlwWt20G5m9lMz22hmy81sbrRqGyhvnlIIwKYKDakhIiIiAyMp\nip/dCpzn7g1mlgy8aGaPB9u+5O4PHNH/EmBq8DoN+EXwNWZNHpkFwNLtNbxlWlHI1YiIiEg8iNqZ\nM49oCFaTg9exZgq/Arg7eN9CIM/MxkSrvoFQmJXKWVMLuWfhNlo7OsMuR0REROJAVO85M7NEM1sK\n7AOedvdXgk3fCS5d3mZmqUHbOGBHt7eXB20x7f2njaeyoZVfPbc57FJEREQkDkQ1nLl7p7vPBoqB\neWZ2InAzMAM4FSgAvhJ0t54+4sgGM7vezBab2eKKioooVd53p0woAOBHT68PuRIRERGJB4PytKa7\n1wD/AC52993BpctW4LfAvKBbOVDS7W3FwK4ePut2dy9z97KiovDv8yrKTj04IG1X17Gu2oqIiIj0\nLppPaxaZWV6wnA68FVh74D4yMzPgSmBl8JZHgA8FT23OB2rdfXe06htIV82JXH3dsK+hl54iIiIi\nxxbNM2djgAVmthxYROSes0eBP5jZCmAFUAj8v6D/Y8BmYCNwB/DJKNY2oC6aNRqAx1cOiSwpIiIi\nMSxqQ2m4+3JgTg/t5x2lvwM3RqueaCrKTmVcXjrb9mswWhEREXljNEPAAJkwIoNNFbqsKSIiIm+M\nwtkAmTexgOXltawo10ToIiIi0n8KZwPk/adNAODhpTtDrkRERESGMoWzAVKUncqM0dlsrtQ8myIi\nItJ/CmcDaMrILNbtqQ+7DBERERnCFM4G0Jzx+eysadaDASIiItJvCmcD6LKTx5Bg8NfXdN+ZiIiI\n9I/C2QAalZPG2Lx0dlRpvDMRERHpH4WzAVacn852hTMRERHpJ4WzATa7JJ+lO2rYVdMcdikiIiIy\nBCmcDbDL3zSWLodFW6vCLkVERESGIIWzATZtVBbpyYm8tr0m7FJERERkCFI4G2BJiQmcXJzLazsU\nzkREROT4KZxFwezxeazcWUtLe2fYpYiIiMgQo3AWBWdMLqSzy/ndP7eGXYqIiIgMMQpnUXD21ELG\n5qaxVPediYiIyHFSOIsCM+Pk4jwWbtlPfUt72OWIiIjIEKJwFiXvPKWYmqZ2lmyrDrsUERERGUIU\nzqJk7vg8ADZVNIZciYiIiAwlCmdRUpCZwtjcNB5eupPWDj21KSIiIn2jcBYlZsYVc8axvLyW7z62\nNuxyREREZIhQOIuij545EYBVu2pDrkRERESGCoWzKCrKTmX+pIKwyxAREZEhROEsykblpLGrpiXs\nMkRERGSIUDiLsjcV57Gzppm1e+rCLkVERESGAIWzKLt89lhy05P5wRPrwi5FREREhgCFsygrzErl\nvaeW8Nz6Ck2ELiIiIr1SOBsEp0zIp6PL9dSmiIiI9Cpq4czM0szsX2a2zMxWmdk3g/aJZvaKmW0w\nsz+ZWUrQnhqsbwy2l0artsE2pyQyW8BrmghdREREehHNM2etwHnu/iZgNnCxmc0Hvgfc5u5TgWrg\nuqD/dUC1u08Bbgv6xYWROWmMzU3jtR0KZyIiInJsUQtnHtEQrCYHLwfOAx4I2u8CrgyWrwjWCbaf\nb2YWrfoG25zx+fxt+W52VDWFXYqIiIjEsKjec2ZmiWa2FNgHPA1sAmrcvSPoUg6MC5bHATsAgu21\nwIho1jeYLp89FoBXtlSFXImIiIjEsqiGM3fvdPfZQDEwDzihp27B157OkvmRDWZ2vZktNrPFFRUV\nA1dslJ0/YyQAX7x/WciViIiISCwblKc13b0G+AcwH8gzs6RgUzGwK1guB0oAgu25wOtOM7n77e5e\n5u5lRUVF0S59wCQlJjBlZBYAVY1tIVcjIiIisSqaT2sWmVlesJwOvBVYAywA3hV0uxZ4OFh+JFgn\n2P6su7/uzNlQ9q0rZgGwcqeG1BAREZGeRfPM2RhggZktBxYBT7v7o8BXgC+Y2UYi95TdGfS/ExgR\ntH8BuCmKtYVi1thcAFZqvDMRERE5iqTeu/SPuy8H5vTQvpnI/WdHtrcA745WPbEgNz2Z0hEZvLqt\nOuxSREREJEZphoBBdtbUIv6+Zh8PLCkPuxQRERGJQQpng+zT500B4J6Xt4Zah4iIiMQmhbNBNjIn\njRvOmczKXXW0d3aFXY6IiIjEGIWzEEwuyqKzyymvbg67FBEREYkxCmchmFiYAcCGvfUhVyIiIiKx\nRuEsBLPG5pKenMgdL2wmzoZyExERkTdI4SwEacmJfPysiSzaWs0KDUgrIiIi3SicheTDZ04E4KWN\n+0OuRERERGKJwllICjJTmDYqi8dX7g67FBEREYkhCmchesfcYpaX11LZ0Bp2KSIiIhIjFM5CNGts\nDgBPr94bciUiIiISKxTOQnTKhHxy05M1lZOIiIgcpHAWooyUJN51SjGvba9m+/6msMsRERGRGKBw\nFrJr5o2ny9GDASIiIgIonIVuysgsxuWla7wzERERARTOYkJpYQaPLt+tS5siIiKicBYLThmfD8Cn\n/vgqDa0dIVcjIiIiYVI4iwGfPn8qAMvLa7n18TUhVyMiIiJhUjiLAcmJh/4ZqhvbQ6xEREREwqZw\nFiN+/aEyADJTE0OuRERERMKkcBYj3jpzFDPH5LCnTlM5iYiIDGcKZzFk9vg8XtxQwa6a5rBLERER\nkZAonMWQD5w2gS6Hv7y2M+xSREREJCQKZzFk5tgcRuWk8uhyzRYgIiIyXCmcxZjRuems2V3H3rqW\nsEsRERGRECicxZgvXjgNgE0VDSFXIiIiImFQOIsxU0ZmAfD8+sqQKxEREZEwKJzFmDG56Vw1Zxy/\nen4TO/XUpoiIyLATtXBmZiVmtsDM1pjZKjP7bNB+i5ntNLOlwevSbu+52cw2mtk6M7soWrXFuk+d\nNwV3eHbN3rBLERERkUEWzTNnHcC/u/sJwHzgRjObGWy7zd1nB6/HAIJtVwOzgIuB/zWzYTlc/qTC\nTCaMyOBvK/TUpoiIyHATtXDm7rvd/dVguR5YA4w7xluuAO5z91Z33wJsBOZFq75YZmZ8cP4EFm6u\n4rn1FWGXIyIiIoNoUO45M7NSYA7wStD0KTNbbma/MbP8oG0csKPb28o5dpiLa9eeUUpGSiIL1u4L\nuxQREREZRFEPZ2aWBTwIfM7d64BfAJOB2cBu4IcHuvbwdu/h8643s8VmtriiIn7PKiUnJnDiuFwe\nX7mbpraOsMsRERGRQRLVcGZmyUSC2R/c/SEAd9/r7p3u3gXcwaFLl+VASbe3FwO7jvxMd7/d3cvc\nvayoqCia5YfuxnOnsLeulcdW7Am7FBERERkk0Xxa04A7gTXu/qNu7WO6dbsKWBksPwJcbWapZjYR\nmAr8K1r1DQVnTy2kKDuVFzfE7xlCEREROVw0z5ydCXwQOO+IYTO+b2YrzGw5cC7weQB3XwX8GVgN\nPAHc6O6dUawv5pkZ80oL+OvSXTS06tKmiIjIcJAUrQ929xfp+T6yx47xnu8A34lWTUPR/Mkj+NuK\n3XzyD69y90eH5cOrIiIiw4pmCIhx15wauQ3v+fUVmm9TRERkGFA4i3FJiQk89MkzAFi8tSrkakRE\nRCTaeg1nZjbNzJ4xs5XB+slm9rXolyYHzCnJIzHB+P4T6+jqet3oIiIiIhJH+nLm7A7gZqAdwN2X\nE5lmSQaJmTF9VDb7G9t4YpWG1RAREYlnfQlnGe5+5JAWenRwkP3mw6cC8Jjm2xQREYlrfQlnlWY2\nmWC0fjN7F5GR/WUQjc5N4x1zx/Hixko6dWlTREQkbvUlnN0I/AqYYWY7gc8BN0S1KunRm6cUUtPU\nzro99WGXIiIiIlHSazhz983u/lagCJjh7m92961Rr0xeZ9bYXADufnkr7jp7JiIiEo96HYTWzL5+\nxDoA7v6tKNUkR1FamAHAfYt2cPmbxnLGlMKQKxIREZGB1pfLmo3dXp3AJUBpFGuSo0hNSuSmS2YA\n8MoWjXkmIiISj/pyWfOH3V7fAc4BxkW9MunRJ94ymRPH5fDixsqwSxEREZEo6M8MARnApIEuRPru\nbSeNZcm2al5SQBMREYk7fZkhYIWZLQ9eq4B1wE+iX5oczUfOLGVEZgq/fWlr2KWIiIjIAOv1gQDg\nsm7LHcBed9cgtCFKS07kqjnjuOvlrTS2dpCZ2pd/RhERERkKjnrmzMwKzKwAqO/2agZygnYJ0Vum\nF9He6fxLDwaIiIjElWOdcllCZFYA62Gbo/vOQnVqaQEpSQm8sKGSc2eMDLscERERGSBHDWfuPnEw\nC5Hjk5acyLzSAn7z0hY+dtZExualh12SiIiIDIA+Pa1pZvlmNs/Mzj7winZh0rvrzork5ztf3BJy\nJSIiIjJQ+vK05seA54EngW8GX2+JblnSF+dOH8k75xZz54tbWLJN956JiIjEg76cOfsscCqwzd3P\nBeYAFVGtSvrshnMit/79/NmNIVciIiIiA6Ev4azF3VsAzCzV3dcC06NblvTVlJHZfOj0CSxYV8Gy\nHTVhlyMiIiJvUF/CWbmZ5QF/BZ42s4eBXdEtS47H2VOLALjh90tCrkRERETeqF5HL3X3q4LFW8xs\nAZALPBHVquS4nBcMpbGrtoWOzi6SEvszK5eIiIjEgr48EPATMzsDwN2fc/dH3L0t+qVJXyUkGKUj\nMgB4dPnukKsRERGRN6Ivp1heBb5mZhvN7AdmVhbtouT4fe+dJwPwuT8tpbPLQ65GRERE+qvXcObu\nd7n7pcA8YD3wPTPbEPXK5LicNmnEwbNnL2zQw7QiIiJD1fHcnDQFmAGUAmujUo28IY999iwAPvzb\nRTS3dYZcjYiIiPRHX+45O3Cm7FvASuAUd3971CuT45aRksTJxbkAPLV6T8jViIiISH/05czZFuB0\nd7/Y3X/r7n0aTMvMSsxsgZmtMbNVZvbZoL3AzJ42sw3B1/yg3czsp8G9bcvNbG7/f6zh68EbziAl\nMYHVu+vCLkVERET6oS/3nP3S3Sv78dkdwL+7+wnAfOBGM5sJ3AQ84+5TgWeCdYBLgKnB63rgF/34\nnsNecmICJ4zJZsnW6rBLERERkX6I2oBY7r7b3V8NluuBNcA44ArgrqDbXcCVwfIVwN0esRDIM7Mx\n0aovnp07YySLt1Xz6T++hrue3BQRERlKBmW0UjMrJTIn5yvAKHffDZEAB4wMuo0DdnR7W3nQduRn\nXW9mi81scUWFnkrsySfeMhmA/1u2i+qm9pCrERERkePRlwcCJptZarB8jpl9JpjOqU/MLAt4EPic\nux/rRijroe11p33c/XZ3L3P3sqKior6WMaykJSdy+wdPAWDJNl3eFBERGUr6cubsQaDTzKYAdwIT\ngXv78uFmlhy8/w/u/lDQvPfA5crg676gvRwo6fb2YjSHZ7+ND8Y8+/jdi6lq1IQOIiIiQ0VfwlmX\nu3cAVwE/dvfPA73eC2ZmRiTMrXH3H3Xb9AhwbbB8LfBwt/YPBU9tzgdqD1z+lOM3fVQ275gTuSqs\nQWlFRESGjr6Es3Yzu4ZIkHo0aEvuw/vOBD4InGdmS4PXpcCtwAXB2GkXBOsAjwGbgY3AHcAn+/5j\nyJHMjO++8yQAvv3oGro0pZOIiMiQkNSHPh8BPgF8x923mNlE4Pe9vcndX6Tn+8gAzu+hvwM39qEe\n6aPUpEQAKhta+evSnbxjbnHIFYmIiEhv+jLO2Wp3/4y7/zEYMDbb3W/t7X0SG7595YmRr4+upqmt\nI+RqREREpDd9eVrzH2aWY2YFwDLgt2b2o97eJ7Hhg/Mn8OP3zqa6qZ2XNu4PuxwRERHpRV/uOcsN\nhsB4B/Bbdz8FeGt0y5KBdPGJoxmTm8bPF2zUoLQiIiIxri/hLCkY8uI9HHogQIaQtOREPnbWJJbt\nqOGvS3eGXY6IiIgcQ1/C2beAJ4FN7r7IzCYBG6Jblgy0j5xRSl5GMgvWalgNERGRWNbr05rufj9w\nf7f1zcA7o1mUDLyEBOPCmaN4dPluapvbyU3vy2goIiIiMtj68kBAsZn9xcz2mdleM3vQzDQmwxB0\n7RmlNLV18oMn1+reMxERkRjVl8uavyUyev9YIhOR/1/QJkPMrLG5fOTMUn6/cDvPrNnX+xtERERk\n0PUlnBW5+2/dvSN4/Q7QjOND1FcvPYHCrBS+89gaOjVrgIiISMzpSzirNLMPmFli8PoAoAGzhqik\nxATOnzGKLZWNrNpVG3Y5IiIicoS+hLOPEhlGYw+wG3gXkSmdZIj61HlTALj85y9R2dAacjUiIiLS\nXV+mb9ru7pe7e5G7j3T3K4kMSCtDVHF+Om+ZFrky/crmqpCrERERke76cuasJ18Y0CpkUJkZd3yo\njOy0JL75f6uobW4PuyQREREJ9Dec2YBWIYMuJSmBz711GvvqW7nn5a1hlyMiIiKB/oYzPeYXB657\n80SmjMziv59aT22Tzp6JiIjEgqOGMzOrN7O6Hl71RMY8kzhw1ZxxAPx58Y6QKxERERE4Rjhz92x3\nz+nhle3uvU77JEPDjedOoWxCPn94ZRtdGvdMREQkdP29rClx5APzJ7B1fxNfe3ilpnUSEREJmcKZ\ncMlJowG495XtPLtW0zqJiIiESeFMSE1K5GtvOwGAFzZUhlyNiIjI8KZwJgB87KxJnD9jJPcs3Mbi\nrRqYVkREJCwKZ3LQLZfPojArhR89vT7sUkRERIYthTM5qKQgg2vmjeefm/azSGfPREREQqFwJod5\n/2kTGJubxg2/X8LeupawyxERERl2FM7kMEXZqfzsfXOpbGjjwVfLwy5HRERk2FE4k9c5ZUI+c8bn\n8f0n1rG1sjHsckRERIYVhTPp0WfOnwrAJ36/RDMHiIiIDKKohTMz+42Z7TOzld3abjGznWa2NHhd\n2m3bzWa20czWmdlF0apL+ubc6SN59ynFrN1Tz99W7A67HBERkWEjmmfOfgdc3EP7be4+O3g9BmBm\nM4GrgVnBe/7XzBKjWJv0wbevPJEEg+89sVZnz0RERAZJ1MKZuz8P9HU8hiuA+9y91d23ABuBedGq\nTfomLTmRWy6fRXl1M89oWicREZFBEcY9Z58ys+XBZc/8oG0csKNbn/KgTUL2jrnFjMxO5eN3L+af\nGzW1k4iISLQNdjj7BTAZmA3sBn4YtFsPfXu8jmZm15vZYjNbXFFREZ0q5aCs1CR+9J7ZALzv16+w\nT2OfiYiIRNWghjN33+vune7eBdzBoUuX5UBJt67FwK6jfMbt7l7m7mVFRUXRLVgAePPUQk4tjZzk\nvG/Rjl56i4iIyBsxqOHMzMZ0W70KOPAk5yPA1WaWamYTganAvwazNjm2+z9xBqdPGsHPnt3Aql21\nYZcjIiISt6I5lMYfgZeB6WZWbmbXAd83sxVmthw4F/g8gLuvAv4MrAaeAG50985o1Sb9c/1bJtHe\n6dzyyKqwSxEREYlb5j50h0goKyvzxYsXh13GsHLTg8u5b9EOvnrpCXz87ElhlyMiIjJkmNkSdy/r\nrZ9mCJDjctMlM3jLtCL+6/E1bKpoCLscERGRuKNwJsclLyOF777jJNKSEvncfUvp6OwKuyQREZG4\nonAmx21sXjrfe9fJrNhZyy+f2xR2OSIiInFF4Uz65e0nj+G8GSP576fWs6OqKexyRERE4obCmfSL\nmfGNt88E4KzvL6CxtSPkikREROKDwpn024QRmVw4cxQAD75azlB+8ldERCRWKJzJG/KrD55CTloS\nX394FfcvLg+7HBERkSFP4UzeEDPja2+LXN788oPL2au5N0VERN4QhTN5w95zagn/ddVJAFzykxeo\nbGgNuSIREZGhS+FMBsT7ThvP6ZNGUNXYxu3Pbw67HBERkSFL4UwGzJ0fLmPG6Gz+tnw3bR0anFZE\nRKQ/FM5kwGSkJHHzpSews6aZ//zryrDLERERGZIUzmRAnT21kA/MH8+fFu/g1y/o8qaIiMjxUjiT\nAWVmfP2yWcwZn8f3nljLnlo9vSkiInI8FM5kwKUkJfDTq+fQ5fDe219mU0VD2CWJiIgMGQpnEhUl\nBRl896qT2La/ifN/+Byrd9WFXZKIiMiQoHAmUfPOU4oPLn/r0VUhViIiIjJ0KJxJ1CQmGFtvfRsX\nzRrFws1V/HnRjrBLEhERiXkKZxJ1P3j3mygpSOeW/1vFrprmsMsRERGJaQpnEnU5acn8z/vm0tTW\nyTf/bxUdnRqgVkRE5GgUzmRQnFycx2fPn8qTq/Yy/7vPaIgNERGRo1A4k0Hz2fOn8tVLT6CyoY1P\n//FV3D3skkRERGKOwpkMmoQE4+NnT+IrF89g0dZqnly1N+ySREREYo7CmQy6j5xZypSRWXzi90v4\nj7+soLNLZ9BEREQOUDiTQZeWnMid15Yxf1IB976yne8/sVaXOEVERAIKZxKKCSMy+ePH5zNhRAa/\nen4z9yzcFnZJIiIiMUHhTEJjZvzp+tMB+NVzm6lraQ+5IhERkfApnEmoRuemce/HTmNXbTMn3/IU\ne+s0xIaIiAxvUQtnZvYbM9tnZiu7tRWY2dNmtiH4mh+0m5n91Mw2mtlyM5sbrbok9pwxpZCvXnoC\nAP/x0ApaOzpDrkhERCQ80Txz9jvg4iPabgKecfepwDPBOsAlwNTgdT3wiyjWJTHoY2dN4mtvO4Fn\n1u7jv59cR3ObApqIiAxPUQtn7v48UHVE8xXAXcHyXcCV3drv9oiFQJ6ZjYlWbRKbPnbWJK6aM447\nXtjC9fcsDrscERGRUAz2PWej3H03QPB1ZNA+DtjRrV950CbDzC1vnwXACxsq+dL9y+jSGGgiIjLM\nxMoDAdZDW49/lc3sejNbbGaLKyoqolyWDLbcjGQWfPEcAO5fUs6Hf7co3IJEREQG2WCHs70HLlcG\nX/cF7eVASbd+xcCunj7A3W939zJ3LysqKopqsRKOiYWZvPDlcymbkM/z6ysovelvtLTrHjQRERke\nBjucPQJcGyxfCzzcrf1DwVOb84HaA5c/ZXgqKcjgzg+fenD91O/8nSXbjryFUUREJP5EcyiNPwIv\nA9PNrNzMrgNuBS4wsw3ABcE6wGPAZmAjcAfwyWjVJUNHbnoyy2+5EID6lg7e+YuXaWztCLkqERGR\n6LKhPKdhWVmZL16sp/ri3b7ewDTSAAAbrElEQVS6Fi788fPUNLVTOiKDpz7/FlKSYuV2SRERkb4x\nsyXuXtZbP/2Fk5g3MieN5754LufNGMnW/U3c8PslugdNRETilsKZDAm5GcnceW0Z7y0r4Zm1+3jv\nr15WQBMRkbikcCZDhplx6ztP4oQxOSwrr+WUbz/Nuj31YZclIiIyoBTOZEgxM+65bh6pSQk0tnVy\n+c9fpLa5PeyyREREBozCmQw5hVmprPzmRXzq3Cm0dnTxvjsWsqWyMeyyREREBoTCmQxJyYkJfPGi\n6XzmvCms2lXHhbc9x0sbK8MuS0RE5A1TOJMh7QsXTueWt8+kvdN5/69f4dHlPU4sISIiMmQonMmQ\n9+EzJ/Ldd5wEwKfufY2f/H1DyBWJiIj0n8KZxIVr5o1n7bcvZlxeOrf9fT03/H4JzW0aakNERIYe\nhTOJG2nJidzxocjAy4+v3MN7fvUy2/c3hVyViIjI8VE4k7gyc2wOL3z5XK6aM45t+xs5+wcLWLmz\nNuyyRERE+kzhTOJOSUEGt7139sGzaJf97EV++NS6kKsSERHpG4UziVunTRrBbz4cCWg/e3Yjn73v\nNdw95KpERESOTeFM4tp5M0bxk6tnA/Dw0l1c/vOXeHnT/pCrEhEROTqFM4l7V8wex8pvXsQH509g\n5a5arrljIY8s03hoIiISmxTOZFjISk3i21eeyP3/djoAn/nja5Te9DeqGttCrkxERORwCmcyrJSV\nFvDU589m7vg8AOZ++2nW7qkLuSoREZFDFM5k2Jk2Kpv7rj+dMyaPAODiH7/APS9v1aC1IiISExTO\nZFhKSUrg3o/P5/5PnM7MMTn858OrOOHrT+gsmoiIhE7hTIa1U0sLeOiTZ3DF7LFA5CzaVx5YTn1L\ne8iViYjIcKVwJsNeWnIiP7l6Dl+6aDoAf1q8g7f99EXKqzX1k4iIDD6FM5HAjedO4b7r5/OZ86ey\nvaqJi3/8Arc+vpZ9dS1hlyYiIsOIwplIN/MnjeALF0zjoU+ewejcNH753Cbm/dcz3L94R9iliYjI\nMKFwJtKDuePz+dtn3szHz5oIwJceWM5vXtyi6Z9ERCTqbCj/sSkrK/PFixeHXYbEuZU7a7nsZy8e\nXL/0pNH87Jq5JCZYiFWJiMhQY2ZL3L2st346cybSixPH5bLw5vP5t7MnAfDYij1cffvLVDW20dja\nEXJ1IiISb3TmTOQ4uDv/+49N/ODJdQfbvn3FLN5dVkJacmKIlYmISKzTmTORKDAzbjx3Ct94+8yD\nbf/58Cpm/OcTeqpTREQGRChnzsxsK1APdAId7l5mZgXAn4BSYCvwHnevPtbn6MyZhMXdWbO7nu1V\njXz5geXUtUQub04szOSe6+ZRnJ8RcoUiIhJrhsKZs3PdfXa3Im8CnnH3qcAzwbpITDIzZo7N4eIT\nx7D06xdy47mTAdhS2cibv7eAWx9fS0u75uoUEZHjF+aZszJ3r+zWtg44x913m9kY4B/uPv1Yn6Mz\nZxJLurqc+xbt4D/+suJg28fPmsiFs0Zz4thc0lN0T5qIyHDW1zNnYYWzLUA14MCv3P12M6tx97xu\nfardPf9Yn6NwJrFow956nt9QyR3Pb2ZPt/vQvva2E7hw5mjGj9AlTxGR4SjWw9lYd99lZiOBp4FP\nA4/0JZyZ2fXA9QDjx48/Zdu2bYNVtshxcXeeWr2Xf//zMhqCITfG5Kbx5387nZICBTQRkeEmpsPZ\nYQWY3QI0AB9HlzUlDrk7tz6+lqrGNp5YtYes1CRKCjL47PlTOXNKYdjliYjIIInZcGZmmUCCu9cH\ny08D3wLOB/a7+61mdhNQ4O5fPtZnKZzJUPP31Xv52N2Hjtlr5pXwibdMpjg/QzMOiIjEuVgOZ5OA\nvwSrScC97v4dMxsB/BkYD2wH3u3uVcf6LIUzGYrqW9p5YUMlDy4p55m1+wAoyEzh3o+fxsTCTFKT\n9OCAiEg8itlwNpAUzmSoW7Ktii/8eRnb9jcdbJs5JoePnFnKWVOLGJ2bFmJ1IiIykBTORIaQjfvq\n+eQfXmX93obD2v/t7El85eIZJOiSp4jIkKdwJjIE7a1roaqxjUt+8sJh7TecM5mLZ42m05254485\nwoyIiMQohTORIa6zy7npweXcv6T8sPYvXTSd95SVUJSdGlJlIiLSHwpnInFiwdp91DS3sXpXHXe8\nsOVg+1tPGMXkkZl85IyJujdNRGQIUDgTiUNNbR389qWt/PK5TdQHk61npiRy+uQRzJtYwAUzRzOx\nMDPkKkVEpCcKZyJxbktlIy9v2s9Tq/ewtbKRrcETn2UT8plclMUnzplMTloSI7J0+VNEJBYonIkM\nI+7OSxv3c8Pvl1AfTBV1wJSRWZw5eQQ3njeFkdm6/CkiEhaFM5FhqKG1g0Qz/mfBRu56eevBS58H\n3HzJDM6ZPpJ99S2UTSggPUUD3oqIDBaFMxGhtrmd1bvq+OFT61i8rfp12y85cTRTR2Xz1hNGMnNM\nDkmJCSFUKSIyPCicichhurqcysZWfv3CFh5eupO9da2HbZ87Po+vv30Ws8bmkKyQJiIy4BTOROSY\nNlU00NLeye8XbmP93gZW76qjub0TgFljc3hTSR6nTSzglAn5dHXB+BEZIVcsIjK0KZyJyHHZXNHA\n959YB8ATq/a8bvvc8XlMHZnNiKwUrpk3npIChTURkeOhcCYi/bZsRw1rdtfx1Oq95GUk4w5/eW3n\n6/oVZqVwwzlTeN+88Xq4QESkFwpnIjKgurqcLfsb+dL9y3h1ew1jc9PYVdtycHtqUgKtHV28c24x\nl508hrbOLk4uzmVMbnqIVYuIxA6FMxGJGnfHzGjr6OJ/FmzkyVV72Fnd/Lox1pISjItmjebk4lxO\nKs4lwYzROWmUahYDERmGFM5EZFDVtbTT0t7Jva9sZ+XOWto7nY37GthZ0/y6voVZqcwYnU15dRNn\nTS3ispPH0N7pzJ2QR0ZKUgjVi4hEn8KZiISus8upb2nnkWW7aGnvpCQ/g6fX7OW5dRUkJdrrhvPo\nbuaYHK6ZV8JJxXnMLskbxKpFRKJD4UxEYpq7097pLN5Wxb66Vr7+8ErqjpjR4ICkBMOB+ZMK+PAZ\nE5k+KpuROansq2ulvrWdyUVZpCXrgQQRiW0KZyIy5LS0d7Jw836W7ahl5tgc1u+tp7y6mey0JG5/\nfvPr+icYdAW/wvIzkjljciEFmSmUleazZnc9Y3LT+OD8CXS6k5RgALhDQrAsIjKYFM5EJK5s2FuP\nA3vrWli0pYrNlY0kJybw9zV7qW/pYHJRJpsqGvv0WVfOHktuejLXnlHKq9truGrOOFbtquWEMTkk\nJRgdXa5ZEkRkwCmciciw0dnlGLC5soFVu+ooyk5l/Z567lm4jcbWTvbUtfT6GUcqKUjnc+dPY09d\nC69tr+HCmaM4e1oRyYlGfkYKCQlGe2eXQpyI9JnCmYhIN/vqW0hNTKTTnYr6Vn71/CaqGtuYMTqH\nXTXNPLFyDyUF6X0++5afkUx1UzsA18wrYVROGsX5GXR0dtHQ2sEJY3LYur+R4vwM3jKtiK4uZ93e\nyKXWvIwUAIU7kWFG4UxEpB9aOzp5bXsNs0vyWLy1mte2V7O7roV7X9lOVmoSo3JSKa9uprWjq9/f\nY1xe+mFDjJRNyGfuhHwumDmK59ZVUNfSzqUnjaE4P52s1CTW721gdE4a40dk0NbRRUrSoUDX3Nap\n2RlEhgiFMxGRKHF3OoMnERITjJ01zdz3rx2cOaWQ7LQk9tS20NjWwaKtVfxp0Q7aO50Tx+VQlJXK\ngnUVZKclkZ2adNgMC8cjJy2JcfkZVNS3sL+xjZPH5YIZU4qyyMtIpiAzhey0JFISE3hufQXvKSsh\nPSWR2SV5bKlsZGJhJimJCTS0dVDb1E5xfjpmBx6Y8IPLIjKwFM5ERGJEbXM7OWlJrws9u2qaGZGV\nQn1LB0u319Dc3klyYgLbqxp56NWdjMpJIz05kfV769lR3UR756Hf1xkpiRjQ2Nb5huubOSaH1bvr\nGJ2TRlVTG23BWcGkBKOsNJ/8jBTG5KbT1tnJX17dyefeOo2CzBSqm9rYXtXEc+sr+Mx5U3Fg5c5a\npo7K4rSJBeSmp5CekkhSgpFgxp7aFsbkpdHe2UV7p5OVGhlwOLHb07NtHV00t3WCQWVDKxNHZGIW\nua+wvdN1llCGNIUzEZE45O60dXaRYHbwfrV/bqxkxpgc1u6uw4GCzBT+uWk/O6qa6OxyZozJ5i+v\n7mRcfjp/X72X4vwMapvbDz4okZeRTE1TO9lBWOo+DdeBOVOjaXxBBgWZKdQ0tbF1f1Ov/c+aWkh1\nUxsZKUmcMXkECWas21vPsh01XDhzNKeW5rNmTz07g2FYRmSmkJyUwIK1+7hi9jiqGiODH795ahGb\n9jVQXt1Me2cXWyobuejE0TS1dtAQvGaOyaGkIIPqxjYyUpOYWJjJvroWdlQ3Mackn7qWdlburGNE\nVgpZqUmcOC6XlvZOutypbmrH3dnf0MbJxbkA1DV3kJEaCZgGLNxcxZzxebR2dJGTlsTq3XVMGZlF\nenJin85gtrR3HnWMv+a2Thw/5qwbXV1+1KFlhtNZ1MH6WRXORESkz5raOg7+EW/r6GJvXQu1ze2c\nMCaHhpYOEhIgNSmR17ZXU5idSlVjG2v31JORnMgFs0bxt+W7aWztICUpga4uZ3tVM/9YFwlDHV1d\nrN5Vx8yxOSzcvJ9FW6uZOz6PlTvrcJzstGTqmttJTkygtaPz4Nh13Q1GSBwI3R8UORazyJh7x3Jq\naT5GJDBsrmygsqHtsO2ZKYmHnTktzEqlsqGVouxUxuSmsby8FoATx+VQ1dDGrtoWpo3KIjstmXV7\n6klJSqC9o4vrz55ESlICr2yporPLWb+3nt09XHLPSUviwlmjcYd1e+tINKO0MJMxuekkJxprdtex\nYmctCWZUN7XR0t7FWVML2VvXQkV9pK4Rmam0dnQyKieNLnfW7K6nqrGNaaOyaG7vojg/nbG5acwc\nm8Nz6yvITU+murGdt508hgVr9/HQazsB+PLF02lp7+Knz2xgclEmEwszyUxN4k3FeXzr0dVkpSZx\nzvQictOT2VvXwsicNM6dPpL//OtKZo3N4ZzpRZTXNDMuL53qxnZ+9uwGvvuOk3h3WUmv/3ZvxJAN\nZ2Z2MfATIBH4tbvferS+CmciIvHhwBnBptZOkpMSSElMICUpgc4uP3jZc0dVE9lpSeSkJdPS0UlS\nQgLLymt4Zs0+0pITuGjWaFbvqiM9JZHRuWk0t3VS39JBTVMbjW2dTB+VTUZqInf9cytFWalMKspi\ne1UTZRPymTAig7TkRB56dScNre3MLsknPSWB1bvq2FLZxKSiTHbVNLO/oY0nVu0BYExuGrnpybxl\nWhHbq5qoamwjLTmR3PRkFqzdx7TR2YzITMGBZ9bsZdqobNo6u6hqbGN8QQbr99bT0n70wJmdmkSn\nO7PG5mAY/9pa1ad9Obskj6U7anrcNrkoM7gnsufL4enJiTS39/1S+YFAeDQpiQk4ftgl+Vj1jbfP\n5CNnTozq9xiS4czMEoH1wAVAObAIuMbdV/fUX+FMRETigbuzcHMVM8fmHLw/8cCDJ0nB5esDlyAP\nTH1W29xOYVYK6/bWM74gA4DqpnbG5aXT2tHJ+j0NlBSkk5eRgrvT0XVopozy6maKgjOg2/Y3kZeR\nzIzR2ZgZVY1tVDa0kpueTIIZu2ubyU5Lpr6lnWmjsmlt7+L5DRXMLsljZE4qr2yuYtqobNo7u0hP\nSaSuuZ2JhZm0dnSRlpxIR3CP4c6aJlbtqiM3PZnHV+zhmtPGM6Egg637G8lISWJ0EHY37qsnwYys\n1CS6HOpa2imvbmJ8QSZLd9QwLi+d9s4uxualMWFE5Pt0dnpwX2YXtc3tpCYlMjInlY37GpgzPo9N\n+xpZvbuOc6cXUZidyvb9TSQmGMmJxpbKJmaOzWFcXnrU/52Hajg7HbjF3S8K1m8GcPfv9tRf4UxE\nRESGir6Gs1gb/XAcsKPbennQJiIiIjIsxFo46+lRicNO7ZnZ9Wa22MwWV1RUDFJZIiIiIoMj1sJZ\nOdD9UYliYFf3Du5+u7uXuXtZUVHRoBYnIiIiEm2xFs4WAVPNbKKZpQBXA4+EXJOIiIjIoDn6yHQh\ncPcOM/sU8CSRoTR+4+6rQi5LREREZNDEVDgDcPfHgMfCrkNEREQkDLF2WVNERERkWFM4ExEREYkh\nCmciIiIiMUThTERERCSGKJyJiIiIxBCFMxEREZEYonAmIiIiEkPM3XvvFaPMrALYNgjfqhCoHITv\nMxRoXxxO++Nw2h+HaF8cTvvjcNofhwynfTHB3Xude3JIh7PBYmaL3b0s7DpigfbF4bQ/Dqf9cYj2\nxeG0Pw6n/XGI9sXr6bKmiIiISAxROBMRERGJIQpnfXN72AXEEO2Lw2l/HE774xDti8NpfxxO++MQ\n7Ysj6J4zERERkRiiM2ciIiIiMUTh7BjM7GIzW2dmG83sprDrGQxmVmJmC8xsjZmtMrPPBu0FZva0\nmW0IvuYH7WZmPw320XIzmxvuTzDwzCzRzF4zs0eD9Ylm9kqwL/5kZilBe2qwvjHYXhpm3dFgZnlm\n9oCZrQ2OkdOH+bHx+eC/k5Vm9kczSxtOx4eZ/cbM9pnZym5tx308mNm1Qf8NZnZtGD/LG3WUffGD\n4L+V5Wb2FzPL67bt5mBfrDOzi7q1x8XfnZ72R7dtXzQzN7PCYD2uj41+cXe9engBicAmYBKQAiwD\nZoZd1yD83GOAucFyNrAemAl8H7gpaL8J+F6wfCnwOGDAfOCVsH+GKOyTLwD3Ao8G638Grg6Wfwnc\nECx/EvhlsHw18Kewa4/CvrgL+FiwnALkDddjAxgHbAHSux0XHx5OxwdwNjAXWNmt7biOB6AA2Bx8\nzQ+W88P+2QZoX1wIJAXL3+u2L2YGf1NSgYnB35rEePq709P+CNpLgCeJjFFaOByOjf68dObs6OYB\nG919s7u3AfcBV4RcU9S5+253fzVYrgfWEPkjdAWRP8wEX68Mlq8A7vaIhUCemY0Z5LKjxsyKgbcB\nvw7WDTgPeCDocuS+OLCPHgDOD/rHBTPLIfIL904Ad29z9xqG6bERSALSzSwJyAB2M4yOD3d/Hqg6\novl4j4eLgKfdvcrdq4GngYujX/3A6mlfuPtT7t4RrC4EioPlK4D73L3V3bcAG4n8zYmbvztHOTYA\nbgO+DHS/4T2uj43+UDg7unHAjm7r5UHbsBFcdpkDvAKMcvfdEAlwwMigW7zvpx8T+UXSFayPAGq6\n/cLt/vMe3BfB9tqgf7yYBFQAvw0u8/7azDIZpseGu+8E/hvYTiSU1QJLGL7HxwHHezzE9XHSzUeJ\nnB2CYbovzOxyYKe7Lzti07DcH8eicHZ0Pf0f7bB5tNXMsoAHgc+5e92xuvbQFhf7ycwuA/a5+5Lu\nzT109T5siwdJRC5T/MLd5wCNRC5bHU1c74/gXqoriFyWGgtkApf00HW4HB+9OdrPH/f7xcy+CnQA\nfzjQ1EO3uN4XZpYBfBX4ek+be2iL6/3RG4Wzoysncm38gGJgV0i1DCozSyYSzP7g7g8FzXsPXJIK\nvu4L2uN5P50JXG5mW4lcXjiPyJm0vOAyFhz+8x7cF8H2XHo+rT9UlQPl7v5KsP4AkbA2HI8NgLcC\nW9y9wt3bgYeAMxi+x8cBx3s8xPVxEtzEfhnwfg9upGJ47ovJRP5HZlnwO7UYeNXMRjM898cxKZwd\n3SJgavDkVQqRG3gfCbmmqAvugbkTWOPuP+q26RHgwJMy1wIPd2v/UPC0zXyg9sAljaHO3W9292J3\nLyXy7/+su78fWAC8K+h25L44sI/eFfSPm//Lc/c9wA4zmx40nQ+sZhgeG4HtwHwzywj+uzmwP4bl\n8dHN8R4PTwIXmll+cDbywqBtyDOzi4GvAJe7e1O3TY8AVwdP8E4EpgL/Io7/7rj7Cncf6e6lwe/U\nciIPn+1hGB4bvQr7iYRYfhF5gmQ9kadnvhp2PYP0M7+ZyGnj5cDS4HUpkXtjngE2BF8Lgv4G/E+w\nj1YAZWH/DFHaL+dw6GnNSUR+kW4E7gdSg/a0YH1jsH1S2HVHYT/MBhYHx8dfiTxBNWyPDeCbwFpg\nJXAPkafvhs3xAfyRyP127UT+2F7Xn+OByP1YG4PXR8L+uQZwX2wkcs/Ugd+lv+zW/6vBvlgHXNKt\nPS7+7vS0P47YvpVDT2vG9bHRn5dmCBARERGJIbqsKSIiIhJDFM5EREREYojCmYiIiEgMUTgTERER\niSEKZyIiIiIxROFMRAaVmTUEX0vN7H0D/Nn/ccT6Pwfy8weamX3YzH4edh0iElsUzkQkLKXAcYUz\nM0vspcth4czdzzjOmoaUPuwPERmCFM5EJCy3AmeZ2VIz+7yZJZrZD8xskZktN7N/AzCzc8xsgZnd\nS2SASszsr2a2xMxWmdn1QdutQHrweX8I2g6cpbPgs1ea2Qoze2+3z/6HmT1gZmvN7A/BaP+HCfp8\nz8z+ZWbrzeysoP2wM19m9qiZnXPgewfvWWJmfzezecHnbA4mgD6gxMyeMLN1ZvaNbp/1geD7LTWz\nXx0IYsHnfsvMXgFOH6h/DBGJHUm9dxERiYqbgC+6+2UAQciqdfdTzSwVeMnMngr6zgNOdPctwfpH\n3b3KzNKBRWb2oLvfZGafcvfZPXyvdxCZ3eBNQGHwnueDbXOAWUTm7HuJyJyqL/bwGUnuPs/MLgW+\nQWRuzWPJBP7h7l8xs78A/w+4AJgJ3MWhaXnmAScCTUFdfyMyqfx7gTPdvd3M/hd4P3B38Lkr3b2n\nCaRFJA4onIlIrLgQONnMDsxLmUtkzsE24F/dghnAZ8zsqmC5JOi3/xif/Wbgj+7eSWRi7ueAU4G6\n4LPLAcxsKZHLrT2Fs4eCr0uCPr1pA54IllcArUHQWnHE+5929/3B938oqLUDOIVIWANI59AE4p3A\ng334/iIyRCmciUisMODT7n7YxMbBZcLGI9bfCpzu7k1m9g8i81b29tlH09ptuZOj/15s7aFPB4ff\nHtK9jnY/ND9e14H3u3uXmXX/HkfOoedBvXe5+8091NEShEwRiVO650xEwlIPZHdbfxK4wcySAcxs\nmpll9vC+XKA6CGYzgPndtrUfeP8RngfeG9zXVgScTWTy8TdqKzDbzBLMrITIJcrjdYGZFQSXaK8k\ncmn1GeBdZjYSINg+YQDqFZEhQGfORCQsy4EOM1sG/A74CZHLfa8GN+VXEAkrR3oC+ISZLQfWAQu7\nbbsdWG5mr7r7+7u1/4XIzfPLiJyZ+rK77wnC3RvxErCFyGXLlcCr/fiMF4F7gCnAve6+GMDMvgY8\nZWYJQDtwI7DtDdYrIkOAHTrrLiIiIiJh02VNERERkRiicCYiIiISQxTORERERGKIwpmIiIhIDFE4\nExEREYkhCmciIiIiMUThTOT/t1vHAgAAAACD/K2nsaMoAoAROQMAGAkTrmkzR63o6QAAAABJRU5E\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb88ab70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "svm = LinearSVM()\n",
    "tic = time.time()\n",
    "loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=2.5e4,\n",
    "                      num_iters=1500, verbose=True)\n",
    "toc = time.time()\n",
    "print('That took %fs' % (toc - tic))\n",
    "plt.plot(loss_hist)\n",
    "plt.xlabel('Iteration number')\n",
    "plt.ylabel('Loss value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "训练准确率："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training accuracy: 0.385796\n",
      "validation accuracy: 0.379000\n"
     ]
    }
   ],
   "source": [
    "# Write the LinearSVM.predict function and evaluate the performance on both the\n",
    "# training and validation set\n",
    "y_train_pred = svm.predict(X_train)\n",
    "print('training accuracy: %f' % (np.mean(y_train == y_train_pred), ))\n",
    "y_val_pred = svm.predict(X_val)\n",
    "print('validation accuracy: %f' % (np.mean(y_val == y_val_pred), ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "交叉验证，选择合适的学习因子和正则化参数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lr 1.400000e-07 reg 8.000000e+03 train accuracy: 0.392286 val accuracy: 0.390000\n",
      "lr 1.400000e-07 reg 9.000000e+03 train accuracy: 0.392653 val accuracy: 0.396000\n",
      "lr 1.400000e-07 reg 1.000000e+04 train accuracy: 0.393388 val accuracy: 0.380000\n",
      "lr 1.400000e-07 reg 1.100000e+04 train accuracy: 0.385367 val accuracy: 0.387000\n",
      "lr 1.400000e-07 reg 1.800000e+04 train accuracy: 0.381327 val accuracy: 0.402000\n",
      "lr 1.400000e-07 reg 1.900000e+04 train accuracy: 0.372061 val accuracy: 0.359000\n",
      "lr 1.400000e-07 reg 2.000000e+04 train accuracy: 0.383000 val accuracy: 0.391000\n",
      "lr 1.400000e-07 reg 2.100000e+04 train accuracy: 0.377204 val accuracy: 0.387000\n",
      "lr 1.500000e-07 reg 8.000000e+03 train accuracy: 0.391796 val accuracy: 0.385000\n",
      "lr 1.500000e-07 reg 9.000000e+03 train accuracy: 0.392510 val accuracy: 0.394000\n",
      "lr 1.500000e-07 reg 1.000000e+04 train accuracy: 0.391041 val accuracy: 0.398000\n",
      "lr 1.500000e-07 reg 1.100000e+04 train accuracy: 0.394796 val accuracy: 0.396000\n",
      "lr 1.500000e-07 reg 1.800000e+04 train accuracy: 0.379265 val accuracy: 0.384000\n",
      "lr 1.500000e-07 reg 1.900000e+04 train accuracy: 0.387265 val accuracy: 0.404000\n",
      "lr 1.500000e-07 reg 2.000000e+04 train accuracy: 0.382143 val accuracy: 0.392000\n",
      "lr 1.500000e-07 reg 2.100000e+04 train accuracy: 0.372224 val accuracy: 0.365000\n",
      "lr 1.600000e-07 reg 8.000000e+03 train accuracy: 0.393184 val accuracy: 0.389000\n",
      "lr 1.600000e-07 reg 9.000000e+03 train accuracy: 0.392714 val accuracy: 0.383000\n",
      "lr 1.600000e-07 reg 1.000000e+04 train accuracy: 0.396163 val accuracy: 0.384000\n",
      "lr 1.600000e-07 reg 1.100000e+04 train accuracy: 0.388837 val accuracy: 0.386000\n",
      "lr 1.600000e-07 reg 1.800000e+04 train accuracy: 0.382531 val accuracy: 0.397000\n",
      "lr 1.600000e-07 reg 1.900000e+04 train accuracy: 0.378429 val accuracy: 0.391000\n",
      "lr 1.600000e-07 reg 2.000000e+04 train accuracy: 0.387061 val accuracy: 0.391000\n",
      "lr 1.600000e-07 reg 2.100000e+04 train accuracy: 0.375449 val accuracy: 0.383000\n",
      "best validation accuracy achieved during cross-validation: 0.404000\n"
     ]
    }
   ],
   "source": [
    "# Use the validation set to tune hyperparameters (regularization strength and\n",
    "# learning rate). You should experiment with different ranges for the learning\n",
    "# rates and regularization strengths; if you are careful you should be able to\n",
    "# get a classification accuracy of about 0.4 on the validation set.\n",
    "#learning_rates = [1e-7, 5e-5]\n",
    "#regularization_strengths = [2.5e3, 5e3]\n",
    "learning_rates = [1.4e-7, 1.5e-7, 1.6e-7]\n",
    "regularization_strengths = [8000.0, 9000.0, 10000.0, 11000.0, 18000.0, 19000.0, 20000.0, 21000.0]\n",
    "\n",
    "# results is dictionary mapping tuples of the form\n",
    "# (learning_rate, regularization_strength) to tuples of the form\n",
    "# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\n",
    "# of data points that are correctly classified.\n",
    "results = {}\n",
    "best_val = -1   # The highest validation accuracy that we have seen so far.\n",
    "best_svm = None # The LinearSVM object that achieved the highest validation rate.\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Write code that chooses the best hyperparameters by tuning on the validation #\n",
    "# set. For each combination of hyperparameters, train a linear SVM on the      #\n",
    "# training set, compute its accuracy on the training and validation sets, and  #\n",
    "# store these numbers in the results dictionary. In addition, store the best   #\n",
    "# validation accuracy in best_val and the LinearSVM object that achieves this  #\n",
    "# accuracy in best_svm.                                                        #\n",
    "#                                                                              #\n",
    "# Hint: You should use a small value for num_iters as you develop your         #\n",
    "# validation code so that the SVMs don't take much time to train; once you are #\n",
    "# confident that your validation code works, you should rerun the validation   #\n",
    "# code with a larger value for num_iters.                                      #\n",
    "################################################################################\n",
    "for lr in learning_rates:\n",
    "    for reg in regularization_strengths:\n",
    "        svm = LinearSVM()\n",
    "        loss = svm.train(X_train, y_train, learning_rate=lr, reg=reg, num_iters=3000)\n",
    "        y_train_pred = svm.predict(X_train)\n",
    "        training_accuracy = np.mean(y_train == y_train_pred)\n",
    "        y_val_pred = svm.predict(X_val)\n",
    "        val_accuracy = np.mean(y_val == y_val_pred)\n",
    "        if val_accuracy > best_val:\n",
    "            best_val = val_accuracy\n",
    "            best_svm = svm\n",
    "        results[(lr, reg)] = training_accuracy, val_accuracy\n",
    "################################################################################\n",
    "#                              END OF YOUR CODE                                #\n",
    "################################################################################\n",
    "    \n",
    "# Print out results.\n",
    "for lr, reg in sorted(results):\n",
    "    train_accuracy, val_accuracy = results[(lr, reg)]\n",
    "    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\n",
    "                lr, reg, train_accuracy, val_accuracy))\n",
    "    \n",
    "print('best validation accuracy achieved during cross-validation: %f' % best_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAApwAAAJcCAYAAABUo3QRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTjjNzMzMLCsnnGZmZmaW1f8Bb0UPYhEmYoQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xbcf3a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the cross-validation results\n",
    "import math\n",
    "x_scatter = [math.log10(x[0]) for x in results]\n",
    "y_scatter = [math.log10(x[1]) for x in results]\n",
    "\n",
    "# plot training accuracy\n",
    "marker_size = 100\n",
    "colors = [results[x][0] for x in results]\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 training accuracy')\n",
    "\n",
    "# plot validation accuracy\n",
    "colors = [results[x][1] for x in results] # default size of markers is 20\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear SVM on raw pixels final test set accuracy: 0.378000\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the best svm on test set\n",
    "y_test_pred = best_svm.predict(X_test)\n",
    "test_accuracy = np.mean(y_test == y_test_pred)\n",
    "print('linear SVM on raw pixels final test set accuracy: %f' % test_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsMAAAHLCAYAAAAtN5WyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xcba1cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the learned weights for each class.\n",
    "# Depending on your choice of learning rate and regularization strength, these may\n",
    "# or may not be nice to look at.\n",
    "w = best_svm.W[:-1,:] # strip out the bias\n",
    "w = w.reshape(32, 32, 3, 10)\n",
    "w_min, w_max = np.min(w), np.max(w)\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "for i in range(10):\n",
    "    plt.subplot(2, 5, i + 1)\n",
    "      \n",
    "    # Rescale the weights to be between 0 and 255\n",
    "    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n",
    "    plt.imshow(wimg.astype('uint8'))\n",
    "    plt.axis('off')\n",
    "    plt.title(classes[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
